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Meteomatics > Case Studies > Meteomatics' Weather Data Enhances Anglian Water's Infrastructure Management
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Meteomatics' Weather Data Enhances Anglian Water's Infrastructure Management

Technology Category
  • Sensors - Environmental Sensors
  • Sensors - Utility Meters
Applicable Industries
  • Cement
  • Construction & Infrastructure
Applicable Functions
  • Product Research & Development
  • Quality Assurance
Use Cases
  • Intelligent Urban Water Supply Management
  • Leakage & Flood Monitoring
Services
  • System Integration
  • Testing & Certification
The Challenge
Anglian Water, the largest water and water recycling company in England and Wales, faced significant challenges in managing weather data. The company's operations required a large number of weather data sets to inform decision-making, but the multiple weather data providers they relied on were complicated and inconsistent. This led to data discrepancies that affected decision-making processes and brought financial and administrative challenges. Additionally, the different providers required data to be collected in various ways, which was technically demanding and time-consuming. These issues prompted the company to streamline its operations by replacing most of its previous providers.
About The Customer
Anglian Water is the largest water and water recycling company in England and Wales by geographic area, covering an area of 27,500km² in the East of England. The company's mission is to provide safe drinking water to the seven million people served in the region and to contribute to the protection and enhancement of the environment by providing effective wastewater management. The company cleans a billion liters of used water each day before returning it to nature. Anglian Water's consistent efforts have been recognized with various awards, including the Queen’s Award for Enterprise in the Sustainable Development category. In 2022, they joined forces with Severn Trent to create the Get River Positive plan, consisting of five commitments necessary to keep rivers clean and ensure they can thrive.
The Solution
In 2018, Anglian Water chose Meteomatics as its primary weather data supplier. Meteomatics' Weather API was quickly integrated into the company's business units, providing data in formats compatible with their existing products and services, and meeting the needs of the Data Science team. The wide range of data sources, historical weather data, and open-source connectors offered by Meteomatics allowed users to immediately gain insights to add to their existing workflows and data infrastructure. Anglian Water uses this weather data to track and predict how future weather events may impact its key infrastructure. This equips them with a better understanding of which assets are at most risk under certain weather conditions, enabling proactive action to prevent events such as pollution, leakage, and water quality incidents.
Operational Impact
  • The integration of Meteomatics' Weather API has greatly improved Anglian Water's ability to manage and predict the impact of weather events on its infrastructure. The company can now better understand which assets are at most risk under certain weather conditions, enabling proactive action to prevent events such as pollution, leakage, and water quality incidents. The weather data also allows teams to better analyze storm-water regulators data to ensure that storm-water regulators and sewage treatment works do not harm rivers. This is a key commitment of the Get River Positive plan. Furthermore, the partnership with Meteomatics has led to the development of a center of competence in the organization on how to use the API and apply the results, increasing time and cost efficiency.
Quantitative Benefit
  • Since the beginning of the partnership with Meteomatics, Anglian Water has made significant savings.
  • Around 200 employees now have the flexibility to access weather data on-demand to support tactical decision-making.
  • Anglian Water and Meteomatics have recently renewed their partnership for another three years.

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